基于多目标粒子群算法的应急物流储备库选址  

Multi-objective programming model of location on emergency logistics storage repository based on particle swarm optimizer

作　　者：周骞[1] 刘军[2] 邹桂兰[1] 肖宇[2] 

机构地区：[1]长沙理工大学交通运输工程学院,湖南长沙410004 [2]湖南省交通科学研究院,湖南长沙410015

出　　处：《长沙理工大学学报（自然科学版）》2013年第1期34-40,共7页Journal of Changsha University of Science and Technology:Natural Science

基　　金：交通运输部长湘高速公路科技工程示范项目(交函科技[2009]333号)

摘　　要：针对应急物流的特点,提出了应急物流储备库选址应考虑各行政区的风险权重、灾害处置难度、储备库恢复能力、地区影响程度及建设成本等因素.借助普通物流选址思想,构建了基于多目标粒子群算法的应急物流储备库选址模型.并以长株潭城市群应急物流系统构建为例,进行了应急物流储备库选址实例研究.According to the characteristics of emergency logistics, this paper put forward that location decision of emergency logistics storage repository should be considered the ad- ministrative region risk weights, disaster disposal difficulty, repertory restoring capacity, regional influence degree and the construction cost and other factors. With the thought of general logistics location, a multi-objective programming model of location on emergency lo- gistics storage repository based on particle swarm optimizer was built and the solving algo- rithm of particle swarm optimizer was given. In the last, the location on emergency logistics storage repository of Chang-Zhu-Tan Urban agglomeration was taken as an example of ap- plication.

关 键 词：应急物流储备库 选址决策 多目标规划模型 粒子群算法 

分 类 号：F252[经济管理—国民经济]